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Monitoring vegetation dynamics using multi-temporal Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) images of Tamil Nadu

M V Priya, R. Kalpana, S Pazhanivelan, R. Kumaraperumal, K P Ragunath, G Vanitha, Ashmitha Nihar, P.J. Prajesh, V Vasumathi

2023Journal of Applied and Natural Science15 citationsDOIOpen Access PDF

Abstract

Vegetation indices serve as an essential tool in monitoring variations in vegetation. The vegetation indices used often, viz., normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) were computed from MODIS vegetation index products. The present study aimed to monitor vegetation's seasonal dynamics by using time series NDVI and EVI indices in Tamil Nadu from 2011 to 2021. Two products characterize the global range of vegetation states and processes more effectively. The data sources were processed and the values of NDVI and EVI were extracted using ArcGIS software. There was a significant difference in vegetation intensity and status of vegetation over time, with NDVI having a larger value than EVI, indicating that biomass intensity varies over time in Tamil Nadu. Among the land cover classes, the deciduous forest showed the highest mean values for NDVI (0.83) and EVI (0.38), followed by cropland mean values of NDVI (0.71) and EVI (0.31) and the lowest NDVI (0.68) and EVI (0.29) was recorded in the scrubland. The study demonstrated that vegetation indices extracted from MODIS offered valuable information on vegetation status and condition at a short temporal time period.

Topics & Concepts

Normalized Difference Vegetation IndexEnhanced vegetation indexVegetation (pathology)Environmental scienceVegetation IndexDeciduousPhysical geographyShrublandRemote sensingLeaf area indexGeographyEcologyEcosystemMedicineBiologyPathologyRemote Sensing in AgricultureLand Use and Ecosystem ServicesLeaf Properties and Growth Measurement
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